Effects of an ICT-based fall-prevention system in community-dwelling older adults

16/06/2017

Source: International Journal of Human-Computer Studies, 2017, Vol 106 p. 10-25

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Date of publication: October 2017

Publication type: Journal article

In a nutshell: A sedentary lifestyle and low levels of physical activity are major factors in fall risk for older adults. ICT-based interventions could possibly counteract the risk for this group, as studies show that such interventions significantly reduce it. However, this population is heterogeneous, and several factors (such as gender, age, fitness and others) may influence the use of these systems. This study analyses the iStoppFalls system, testing effectiveness and usage indicators, among other things.

Length of publication: 15 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


A hierarchical alarm model for elderly fall prevention sensors

17/05/2017

Source: Pervasive and Mobile Computing, 2017, online

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Date of publication: April 2017

Publication type: Journal article

In a nutshell: New technologies allow for automatic monitoring of hospitalised older people, helping clinical staff to supervise to reduce falls. This paper introduces a hierarchical model to predict alarming states in a sensor worn over clothes. The hierarchy predicts levels of danger to warn clinical staff of possible fall danger.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to  find your local NHS Library.


Experiences with fall prevention technology within nursing homes

27/01/2017

Source: Geriatric Nursing, 2016, Online

Follow this link for the abstract

Date of publication: December 2016

Publication type: Journal article

In a nutshell: This joint US and Dutch study investigated how existing fall prevention technology was experienced within nursing home nurses’ environment and workflow. Two case reports were constructed from interview and observational data comparing the magnitude of falls, safety cultures and technology characteristics/effectiveness. Across cases, 1) a coordinated communication system was essential in facilitating effective fall prevention alert response, and 2) nursing home safety culture is tightly associated with the chosen technological system.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to fid your local NHS Library.


The use of ICT for falls prevention, detection and monitoring- call for case studies

16/09/2015

Source: Prevention of Falls Network Earth

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Date of publication: July 2015

Publication type: Website

In a nutshell: ProFouND, the EC-funded initiative dedicated to bringing about the dissemination and implementation of best practice in falls prevention across Europe, is looking for case studies from across the UK on peoples’ experiences of using information and ICT-based technologies for falls prediction, detection and prevention in practice. They want to know about technologies used and who they are manufactured by. These can include call alarm systems, bed alarms and even Wii or Kinect games systems – how have patients/older people got on with using the technology?

Length of publication: 1 page


Unobtrusive monitoring and identification of fall accidents

17/04/2015

Source: Medical Engineering and Physics, 2015, online

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Date of publication: March 2015

Publication type: Journal article

In a nutshell: The practical use of fall monitoring equipment is limited due to accuracy, usability, cost and the possible stigma attached to them. This paper proposes a fall sensor concept that can be embedded in the user’s footwear. It discusses algorithms, software and hardware developed. Software performance is illustrated using results of a series of functional tests, which show that the developed sensor can be used for the accurate measurement of various mobility and gait parameters and that falls are detected accurately.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Video footage and fall-incidence reports in long-term care.

19/03/2015

Source: Journal of the American Medical Directors Association, 2015, Online

Follow this link for the abstract

Date of publication: February 2015

Publication type: Journal article

In a nutshell: This study looked into how much agreement there was between reports of falls in long-term care facilities and video footage of the falls over a six year period. There was agreement between video footage and reports under half of the time. These technologies incorporating video capture or wearable sensors can improve our ability to understand the mechanisms involved in falls and to improve the prevention of falls in long-term care facilities.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Posture estimation and human support using wearable sensors and walking-aid robot

15/01/2015

Source: Robotics and Autonomous Systems, 2014, online

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Date of publication: December 2014

Publication type: Journal article

In a nutshell: This paper introduces a walking-aid robot that can automatically detect when a human, wearing sensors, is about to fall and act to stop it from happening. The robot takes reading of centre of pressure and centre of gravity from the person to predict possible falls and act accordingly.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


An interactive voice response system for identifying older adults’ falls

15/01/2015

Source: Preventive medicine, 2015, Vol 71, p. 31-36

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Date of publication: February 2015

Publication type: Journal article

In a nutshell: Interactive voice response systems can collect data from a wide geographical area very easily and frequently. This study assessed the quality of the data collected from older people participating in a falls prevention programme evaluation in Pennsylvania. IVR was found to be a productive method of collecting data for falls research. Future research needs to establish the level of personal contact required to increase IVR completion rates.

Length of publication: 5 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Recognition of gait cycle phases using wearable sensors

17/12/2014

Source: Robotics and Autonomous Systems, 2014, online

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Date of publication: October 2014

Publication type: Journal article

In a nutshell: This paper looks at the normal cycle of walking and gait using pressure and force measurements to ultimately help predict abnormal walking patterns which could lead to falling.

Length of publication: 1 page

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Survey: Falls Prevention in General Practice

18/09/2014

Source: Twitter

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Date of publication: September 2014

Publication type: Tweet (social media) leading to online survey

In a nutshell: This is an online survey through SurveyMonkey requesting information on how General Practitioners address falls prevention in their every day practice with older people.

Length of publication: 1 page


Older adults’ perceptions of technologies for falls prevention and detection

15/07/2014

Source: International Journal of Medical Informatics, 2014, Vol 83 no 6 p. 416-426

Follow this link for the abstract

Date of publication: June 2014

Publication type: Journal article

In a nutshell: This systematic review looked at new technologies aimed at preventing falls, detecting falls and alarms after a fall, as well as those technologies created or adapted to be proactive in preventing falls from happening. There are often barriers to those technologies being used by people aged 50 and above. These barriers can anything from attitudes to personal independence and perceived need for safety, as well as usability, cost and what feedback the devices provide.

Length of publication: 10 pages

Some important notes: Please contact you local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Videos to support falls prevention practice within care homes

15/07/2014

Source: ProFaNE website

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Date of publication: May 2014

Publication type: News item

In a nutshell: The South West Ambulance Trust has put together several videos to help care homes reduce the risk of falls amongst their residents. Topics include: Preparing your team to prevent falls, Identifying people most at risk, The power of exercise and Assessments for those who have fallen. Supporting documents are available alongside the videos. A link to the South West Ambulance Trust’s campaign page is included.

Length of publication: 1 page


Developing a standard data format from body-sensor signals

16/01/2014

Source: Zeitschrift für Gerontologie und Geriatrie, 2013, 46 (8) p. 720-726

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Date of publication: December 2013

Publication type: Journal article

In a nutshell: Bodily-worn sensor devices can provide real-time and objective data about falls in older people which will increase understanding of them and help technology to automatically recognise them. The FARSEEING consortium with associated partners is trying to build a meta-database using standardised data to combine different sources and guarantee data quality.

Length of publication: 6 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.


Designing and evaluating an electronic patient falls reporting system

13/12/2013

Source: International Journal of Medical Informatics, 2013, Vol 82 no 11 p. e294-e306

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Date of publication: November 2013

Publication type: Journal article

In a nutshell: Electronic falls reporting systems can often aid improvement efforts to prevent patient falls, thereby saving money and lives, but many long term care facilities either can’t or won’t invest in such systems due to costs or lack of staff training. This paper looks at a system that is easy to use, and with no initial investment costs aside from personnel to set up.

Length of publication: 12 pages

Some important notes: Please contact your local NHS Library for the full text of the article. Follow this link to find your local NHS Library.